Course Structure@Jaypee University of Engineering and Technology

SEMESTER - I

S.No.	Subject Code	Subject	Contact Hours
S.No.	Subject Code	Subject	L	T	P	Total	Credits
1	MA101	Engineering Mathematics	3	1	-	4	4
2	PH101	Engineering Physics - I	3	1	-	4	4
3	HS101	English	2	1	-	3	3
4	CS101	Computer Programming	3	1	-	4	4
5	PH201	Engineering Physics Lab - I	-	-	2	2	1
6	CS201	Computer Programming Lab	-	-	4	4	2
7	ME201	Workshop Practices	-	-	3	3	1.5
8		Value Added Course - I	-	-	-	-	-
		Total				24	19.5

		SEMESTER - II

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1	HS104	Life Skills and Effective Communication	1	1	-	2	2
2	MA105	Discrete Mathematics	3	1	-	4	4
3	PH102	Engineering Physics - II	3	1	-	4	4
4	EC101	Electrical Science	3	1	-	4	4
5	CS102	Object Oriented Programming	3	1	-	4	4
6	PH202	Engineering Physics Lab - II	-	-	2	2	1
7	EC203	Electrical Science Lab	-	-	2	2	1
8	CS202	Object Oriented Programming Lab	-	-	2	2	1
9	ME203	Engineering Drawing & Design Lab	-	-	3	3	1.5
10		Value Added Course - II	-	-	-	-	-
		Total				27	22.5

Students may undergo optional Industrial Training during Summer Vacation after 2nd Semester.

SEMESTER - III

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1	HS103	Techniques for decision making	2	1	-	3	3
2	CS103	Data Structures	3	1	-	4	4
3	EC106	Digital Systems and Microprocessors	3	1	-	4	4
4	CS104	Database Systems	3	1	-	4	4
5	GE101	Environmental Science	2	-	-	2	Audit
6	CS203	Data Structures lab	-	-	2	2	1
7	EC206	Digital Systems and Microprocessors Lab	-	-	2	2	1
8	CS204	Database Systems Lab	-	-	2	2	1
9	CS205	UI/UX Lab	-	-	2	2	1
10	CS206	Advanced Programming Lab-I	-	-	2	2	1
11		Value added course-III	-	-	-	-	-
		Total				27	20

SEMESTER - IV

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1		HSS Elective-I	3	-	-	3	3
2	CS105	Software Engineering	3	-	-	3	3
3	CS106	Algorithms and Problem Solving	3	1	-	4	4
4		Foundation of AI	3	1	-	4	4
5	CS108	Machine Learning	3	-	-	3	3
6	CS207	Algorithms Lab	-	-	2	2	1
7		AI Lab	-	-	2	2	1
8	CS209	Machine Learning Lab	-	-	2	2	1
9	CS210	Mobile Application Development Lab	-	-	2	2	1
		Total				25	21

Students will undergo 4 weeks Industrial Training during Summer Vacation after 4th Semester.

SEMESTER - V

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1		HSS Elective - II	3	-	-	3	3
2	MA106	Probability Theory and Random Processes	3	1	-	4	4
3		Discipline Elective - I	3	-	-	3	3
4	CS109	Computer Networks	3	-	-	3	3
5		Deep Learning	3	1	-	4	4
6		Science Elective	3	-	-	3	3
7	CS211	Minor Project – 1	-	-	6	6	3
8	CS212	Computer Networks Lab	-	-	2	2	1
9		Deep Learning Lab	-	-	2	2	1
10	CS214	Advanced Programming Lab-II	-	-	2	2	1
11		Value added course-IV	-	-	-	-	-
		Total				32	26

SEMESTER - VI

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1		HSS Elective-III	3	-	-	3	3
2	CS111	Operating Systems	3	1	-	4	4
3		Modern AI/ML Applications	3	-	-	3	3
4		Discipline Elective-II	3	-	-	3	3
5	CS215	Minor Project-2	-	-	6	6	3
6	CS216	Operating Systems Lab	-	-	2	2	1
7	CS217	Advanced Programming Lab-III	-	-	2	2	1
		Total				23	18

Note:
1.	All students will undergo Value Added Courses; however it will not count for CGPA calculations.
2.	Students will undergo 6 weeks Industrial Training during Summer Vacation after the 6th Semester. It will be evaluated in 7 th semester.

SEMESTER - VII

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1		Open Elective - I	3	-	-	3	3
2		CS Elective - III	3	-	-	3	3
3		CS Elective - IV	3	-	-	3	3
4		CS Elective - V	3	-	-	3	3
5	CS218	Major Project Part-I	-	-	8	8	4
6	CS001	Summer Training Viva	-	-	-	-	Qualifying
		TOTAL				20	16

SEMESTER - VIII

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1		Open Elective - II	3	-	-	3	3
2		CS Elective - VI	3	-	-	3	3
3		CS Elective - VII	3	-	-	3	3
4	CS219	Major Project Part-II	-	-	16	16	8
		TOTAL				25	17

Total Credits for B. Tech. –160

List of Electives

Value Added Courses

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1	HS001	Human Values and Professional Ethic	2	-	-	2	-
2	HS003	Concept of Project Management	2	-	-	2	-
3	HS002	Professional communication Practice	-	-	2	2	-
4	HS004	Indian Constitution & Traditional Knowledge	2	-	-	2	-

HSS Electives

S.No.	Subject Code	Subject	L	T	P	Total	Credits
	HS304	Concepts of Digital Marketing	3	-	-	3	3
	HS301	Concepts of Economics	2	1	-	3	3
	HS305	Logical & Quantitative Technique	3	-	-	3	3
	HS303	Knowledge managemen	3	-	-	3	3

Science Electives

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1		Data Science	3	-	-	3	3
2		Science of Web	3	-	-	3	3
3		Number System and Cryptography	3	-	-	3	3
4		Fuzzy Systems and Applications	3	-	-	3	3
5	PH301	Introduction to Quantum Computing	3	-	-	3	3
6	PH302	Nano Science	3	-	-	3	3
7	PH303	Materials Science and Applications	3	-	-	3	3
8	CH303	Biochemistry	3	-	-	3	3

Departmental Electives CS1-CS7

S.No.	Subject Code	Subject	L	T	P	Total	Credits
1	CS301	Maths for Artificial Intelligence	3	-	-	3	3
2	CS302	Big Data Systems	3	-	-	3	3
3	CS303	Artificial Intelligence	3	-	-	3	3
4	CS304	Data Analysis and Visualization	3	-	-	3	3
5	CS305	Neural Networks	3	-	-	3	3
6	CS306	Cryptography	3	-	-	3	3
7	CS307	Blockchain Technology	3	-	-	3	3
8	CS308	Intrusion Detection and Prevention Systems	3	-	-	3	3
9	CS309	Software Testing	3	-	-	3	3
10	CS310	Web Engineering	3	-	-	3	3
11	CS311	Full Stack Development	3	-	-	3	3
12	CS312	Mobile Application Development	3	-	-	3	3
13	CS313	Natural Language Processing	3	-	-	3	3
14	CS314	Soft Computing	3	-	-	3	3
15	CS315	Operation Research	3	-	-	3	3
16	CS316	Digital Signal Processing	3	-	-	3	3
17	CS317	Statistical Inferences	3	-	-	3	3
18	CS318	Information Retrieval Systems	3	-	-	3	3
19	CS319	Login in Computer Science	3	-	-	3	3
20	CS320	Augmented and Virtual Reality	3	-	-	3	3
21	CS321	Data Mining	3	-	-	3	3